Results 151 to 160 of about 2,883,845 (315)

Opportunities and challenges for process control in process intensification

, 2012
This is a review and position article discussing the role and prospective for process control in process intensification. Firstly, the article outlines the classical role of control in process systems, presenting an overview of control systems ...
Huesman, A.E.M., Hof, Van den, P.M.J., Hof, Van den, P.M.J.; id_orcid, Stankiewicz, A., Nikacevic, N.M.   +4 more
core   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

Tracking control of ships based on ADRC−MFAC

Zhongguo Jianchuan Yanjiu
ObjectiveThis paper aims to investigate the complex influence of environmental disturbances on unmanned surface vehicles (USVs) under real ocean conditions, and control USVs to overcome disturbances and realize path following.
Shijie LI, Chengqi XU, Jialun LIU, Ziqian XU, Fanbin MENG   +4 more
doaj   +1 more source

Data-Driven Control and Its Applications to Microgrids

Renewable energy resources have an increasing share of the electrical power, and the concept of distributed generation and storage units is about to completely change the basic architecture and control algorithms of the electric power grids.
Zheng, Dongdong, Madani, Seyed Sohail, Karimi, Alireza, Bahrani, Behrooz   +3 more
core   +1 more source

On robust stability of fully probabilistic control with respect to data-driven model uncertainties

, 2019
We investigate robust stability of the fully probabilistic control with respect to data-driven model uncertainties. This scheme attempts to control a system modeled via a probability density function (pdf) and does so by computing a probabilistic control
Pegueroles, Bernat Guillen, Russo G., Pegueroles B. G., Russo, Giovanni, Bernat Guillen Pegueroles, Giovanni Russo   +5 more
core   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

Data-driven MPC for Real-time Control of an Open-die Forging Problem

International audienceModel Predictive Control (MPC) is a traditional technique widely employed to control constrained nonlinear systems. Recently, data-driven MPC has emerged as an alternative to explicit MPC strategies when sufficient data are ...
Chamoin, Ludovic, Fribourg, Laurent, Xavier, Daniel Martin   +2 more
core  

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

Adaptive Safe Data Driven Control Strategy for Closed Loop System

IEEE Access
Due to the widely studied data driven control in today’s new big data era, this paper combines other innovative considerations into our existed contributions about data driven control, for example, adaptation, safety and switching logic together ...
Wen Ruchun
doaj   +1 more source

Model-based predictive control scheme for cost optimization and balancing services for supermarket refrigeration Systems

, 2014
A new formulation of model predictive control for supermarket refrigeration systems is proposed to facilitate the regulatory power services as well as energy cost optimization of such systems in the smart grid.
Boje, E., Xia, X., Stoustrup, J., Izadi-Zamanabadi, R., Shafiei, S.E., Weerts, H.H.M.   +5 more
core   +1 more source